Business Architecture for R&D: AI Transformation Blueprint | Capstera
Category: Business Architecture Packages
$3295.00 Available now
R&D business architecture with the AI layer built in: capabilities, value streams, data model, 43 agent specs, 60 use cases and 46 controls.
The AI Transformation Blueprint for Research and Development is the Business Architecture for Research and Development package with the AI layer built in. It keeps the capability model, value streams and data model, and adds what an AI program needs to decide: where AI fits, in what mode, under what human oversight, with what data, at what risk, governed how and in what order.
What's Inside
- Everything in the AI-Ready Capability Model edition: 10 L1, 40 L2 and 158 L3 R&D capabilities, with definitions to L3 and 161 KPIs at L2, an AI profile for every L2, AI ratings for every L3, prioritization, the AI heatmap and a 40-question readiness assessment
- 12 R&D value streams, 60 stages with their steps, each described today and AI-native, with the human checkpoint at every stage, plus 11 standard value streams
- An AI-ready business data model: 16 subject areas, 112 entities, 829 attributes and 440 relationships, with sensitivity and data-quality requirements
- 43 agent specification starters with tool permissions, guardrails and escalation paths
- 60 use cases as structured business cases
- 46 controls and responsible AI principles, tied to risk tiers
- An operating model: governance bodies, a RACI, an agent lifecycle, role impacts and new roles
- A three-wave roadmap
- A Welcome document, a leadership presentation template to adapt, the capability map deck, standalone documents for the capability definitions, KPIs, data model, agent specifications, use cases and AI governance, a value streams deck, the Excel workbook, the implementation guide, and import files for the Capstera platform
- Bonus files: an R&D glossary, R&D roles and how AI changes them, R&D operating model archetypes, an R&D transformation overview and framework, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template, capability relationship mapping templates, a framework-to-enablement deck, a capabilities to microservices and AI agents mapping example, and a business architecture leader role guide
- 12 months of content updates and MCP access for your AI assistants
Every file names your organization and carries your license ID. Ratings describe a typical large enterprise and are a starting point for your own.
Why Not Just Ask ChatGPT?
A general-purpose assistant will draft an R&D capability list in a minute, and for orientation that is often enough. This package is for decisions that have to stand up to review: what to automate, under whose oversight, and in what order.
| A generic AI-generated list | This package | |
|---|---|---|
| Structure | A plausible list that changes between runs | A fixed model with stable IDs: 10 L1, 40 L2 and 158 L3 capabilities, defined to L3 |
| Cross-references | Not checked | Every link between capabilities, value stream stages, data entities, agents, use cases and controls is validated before release |
| Where AI fits | Suggestions you have to verify yourself | An AI profile for every L2 capability: AI mode, human oversight, opportunities, what stays human, data, KPIs, prerequisites and risks |
| Risk | Generic cautions | A risk tier for every capability, agent and use case, 46 controls and responsible AI principles, with every decision about a person kept with a named human |
| Agents | Ideas, without permissions or guardrails unless you write them | 43 agent specification starters with tool permissions, guardrails and escalation paths |
| Scoring | No model to score against | A prioritization model with your own ratings and weights, and a 40-question readiness assessment |
| Durability | Shifts with each prompt and model version | Capabilities that describe what R&D does, independent of any tool, vendor or law, with 12 months of content updates and live lookups through MCP |
Read the Public Sample
The sample follows one thread through the package, testing, and is 0.79% of the content. From the Testing (RD-5.2) AI profile:
- Work patterns: Analysis & insight, Content generation, Transactional processing
- Target AI mode: Augment
- Human oversight: Human-in-the-loop
- AI fit / Value / Feasibility / Data readiness: 4 / 4 / 3 / 3 (1–5)
- Risk tier: High
- Roadmap wave: Wave 2
- AI opportunity: Draft test plans from the requirements, design risks and earlier test results: methods, conditions, sample sizes, acceptance criteria and the trace link from each test to the requirement it covers
- What stays human: The Test and Validation Lead approves each test plan and its acceptance criteria, and accepts test results that do not bear on safety or quality; the Quality Lead approves every safety- or quality-relevant test conclusion that releases or rejects a design
The preview above shows more of the profile, the AI heatmap, an agent card and a value stream stage redesigned for AI. Any MCP client can also query the sample at https://platform.capstera.com/api/mcp/blueprints?package=rd without a key.
Connect Your AI Assistant
Your license includes access to the package through MCP (Model Context Protocol). Connect an MCP-capable AI assistant or your own agents, and they look up your licensed content as they work: one capability, agent or control at a time, scoped to your edition and stamped with your license ID. The key arrives with your order confirmation, and access runs with your 12 months of updates. Setup and limits: AI-ready license and MCP access.
Upgrade Credit
Bought the AI-Ready Capability Model edition in the last 90 days? The full price you paid counts toward this Blueprint. Email support@capstera.com with your order number for a one-time checkout code.
Frequently Asked Questions
What is the difference between the two editions?
The AI-Ready Capability Model covers the capability map, an AI profile for every L2 capability, prioritization, the heatmap and the readiness assessment. The AI Transformation Blueprint adds value streams redesigned for AI, the business data model, agent specifications, use cases, responsible AI principles and controls, the operating model and the roadmap, a leadership presentation template, and bonus files on roles, operating model archetypes and transformation.
Can I upgrade from the Capability Model to the Blueprint later?
Yes. The full price you paid for the Capability Model counts toward the Blueprint if you upgrade within 90 days. Email support@capstera.com with your order number for a one-time checkout code.
What happens after 12 months?
Your license to use the files does not end. Any model changes released within 12 months of purchase are free, and MCP access runs for the same 12 months. There is no renewal after that: when a major upgrade is released, past buyers are notified and offered a discount on the new version.
Can I load the content into our own AI tools?
Yes, within the license. The Enterprise license allows internal tools, including your own assistants and agents. Neither license allows training, fine-tuning or prompting AI systems for third parties.
Does the package cover AI laws and regulations?
No, by design. It is business architecture: capabilities, value streams, data and the AI layer describe what R&D does and how AI fits, and they hold whichever laws apply where you operate. The risk tiers, principles and controls are durable practices your compliance team maps to your own jurisdictions.